Results 71 to 80 of about 2,583 (175)

Decoding XCO2 Distributions Over the Indian Subcontinent Using Deep Neural Network Based High‐Resolution Long‐Term Satellite Observations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract India often faces challenges in monitoring atmospheric carbon dioxide (CO2) through satellite observations due to persistent cloud cover, especially during the monsoon season. This limitation affects the continuous tracking of carbon and hinders accurate assessments of carbon‐climate interactions.
Digvijay Kumar Singh, Ravi Kumar Kunchala, Sarvesh Dubey, Chiranjit Das, Balaji Baduru   +4 more
wiley   +1 more source

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

A Novel Direction-of-Arrival Estimation via Phase Retrieval with Unknown Sensor Gain-and-Phase Errors

Sensors, 2019
In signal array processing, high-resolution direction-of-arrival (DOA) estimation algorithms work well on the assumption that the system models are perfect. However, in practicality, there are imperfect system models in which sensor gain-and-phase errors
Lingwen Zhang, Siliang Wu, Ao Guo, Wenkao Yang   +3 more
doaj   +1 more source

Evaluating TEMPO Formaldehyde Retrievals With Co‐Located Ground‐Based FTIR and Pandora Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Formaldehyde (HCHO) is an important proxy for volatile organic compounds and photochemical activity, with significant implications for air quality and atmospheric chemistry. The recently launched geostationary satellite instrument Tropospheric Emissions: Monitoring of Pollution (TEMPO) provides the first‐ever hourly observations of HCHO and ...
Ivan Ortega, James W. Hannigan, David Edwards, Wolfgang Stremme, Michel Grutter, Andrea Cadena‐Caicedo, Kimberly Strong, Victoria Flood, Xiaoyi Zhao, Gonzalo Gonzalez Abad, Caroline R. Nowlan   +10 more
wiley   +1 more source

Neural Network–Assisted Metasurface Retroreflector With Wide‐Angle Adaptivity

Electron, Volume 4, Issue 2, May 2026.
This work proposes a wide‐angle, multi‐polarization, self‐sensing, and self‐adaptive intelligent metasurface retroreflector, with a planar profile and ultrathin thickness. By integrating a pre‐trained artificial neural network (ANN), the metasurface retroreflector can recognize the incident angle and promptly adapt to changes in the incoming wave.
Jing Ning, Xunfan Wang, Kun Duan, Weixu Yang, Junming Zhao, Tian Jiang, Ke Chen, Yijun Feng   +7 more
wiley   +1 more source

Parallel Complementary Virtual Arrays Algorithm for Direction of Arrival (DOA) Estimation

International Journal on Recent and Innovation Trends in Computing and Communication, 2023
This Paper discusses the challenges faced by previous method 2D Direction of Arrival (DOA) systems, such as low degrees of freedom, poor resolution, and significant estimation errors in scenarios with small snapshots. In response to these issues, the present method proposes a low-complexity 2D Direction of Arrival (DOA) estimation algorithm based on a ...
openaire   +1 more source

Joint Estimation of DOA and TDOA of Multiple Reflections by Matrix Pencil in Mobile Communications

IEEE Access, 2019
This paper presents the joint estimation of the direction of arrival (DOA) and the time difference of arrival (TDOA) for multipath signals, which is the central issue for mobile communications.
Yu Zheng, Yongzhi Yu
doaj   +1 more source

A Comprehensive Review of Direction of Arrival (DoA) Estimation Techniques and Algorithms

Journal of Electronics and Electrical Engineering
Direction of Arrival (DOA) estimation is a pivotal aspect of Array Signal Processing (ASP) with significant implications for the performance of modern communication systems. This paper provides a comprehensive review of DOA estimation techniques, encompassing both classical and advanced algorithms.
Saanvi Kulkarni, Avani Thakur, Samraddhi Soni, Anil Hiwale, Madhavi H. Belsare, A. A. Bazil Raj   +5 more
openaire   +1 more source

Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction. [PDF]

Sensors (Basel), 2023
Yao J, Zhao C, Bai J, Ren Y, Wang Y, Miao J.   +5 more
europepmc   +1 more source

Selective Range Iterative Adaptive Approach for High-Resolution DOA Estimation

IEEE Access, 2019
In this paper, the problem of direction-of-arrival (DOA) estimation for a uniform linear array with single-snapshot observations is addressed. Two non-parametric DOA estimators are developed, which can be applied in any azimuth range with one snapshot ...
Yuan Chen, Long-Ting Huang, Hing Cheung So   +2 more
doaj   +1 more source